IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i21p14433-d962447.html
   My bibliography  Save this article

Smart Wireless Particulate Matter Sensor Node for IoT-Based Strategic Monitoring Tool of Indoor COVID-19 Infection Risk via Airborne Transmission

Author

Listed:
  • C. Bambang Dwi Kuncoro

    (Department of Refrigeration, Air Conditioning and Energy Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

  • Cornelia Adristi

    (Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok 16424, Indonesia)

  • Moch Bilal Zaenal Asyikin

    (Department of Refrigeration, Air Conditioning and Energy Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

Abstract

Indoor and outdoor air pollution are associated with particulate matter concentration of minute size that deeply penetrates the human body and leads to significant problems. These particles led to serious health problems and an increased spread of infection through airborne transmission, especially during the COVID-19 pandemic. Considering the role of particulate matter during the spread of COVID-19, this paper presents a smart wireless sensor node for measuring and monitoring particulate matter concentrations indoors. Data for these concentrations were obtained and used as a risk indicator for airborne COVID-19 transmission. The sensor node was designed to consider air quality monitoring device requirements for indoor applications, such as real-time, continuous, reliable, remote, compact-sized, low-cost, low-power, and accessible. Total energy consumption of the node during measurement and monitoring of particulate matter concentration was minimized using a low-power algorithm and a cloud storage system embedded during software development. Therefore, the sensor node consumed low energy for one cycle of the particulate matter measurement process. This low-power strategy was implemented as a preliminary design for the autonomous sensor node that enables it to integrate with an energy harvester element to harvest energy from ambient (light, heat, airflow) and store energy in the supercapacitor, which extends the sensor node life. Furthermore, the measurement data can be accessed using the Internet of Things and visualized graphically and numerically on a graphical user interface. The test and measurement results showed that the developed sensor node had very small measurement error, which was promising and appropriate for indoor particulate matter concentration measurement and monitoring, while data results were utilized as strategic tools to minimize the risk of airborne COVID-19 transmission.

Suggested Citation

  • C. Bambang Dwi Kuncoro & Cornelia Adristi & Moch Bilal Zaenal Asyikin, 2022. "Smart Wireless Particulate Matter Sensor Node for IoT-Based Strategic Monitoring Tool of Indoor COVID-19 Infection Risk via Airborne Transmission," Sustainability, MDPI, vol. 14(21), pages 1-23, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14433-:d:962447
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/21/14433/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/21/14433/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Matthew A. Cole & Ceren Ozgen & Eric Strobl, 2020. "Air Pollution Exposure and Covid-19 in Dutch Municipalities," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 581-610, August.
    2. C. Bambang Dwi Kuncoro & Arvanida Feizal Permana & Moch Bilal Zaenal Asyikin & Cornelia Adristi, 2022. "Smart Wireless Climate Sensor Node for Indoor Comfort Quality Monitoring Application," Energies, MDPI, vol. 15(8), pages 1-21, April.
    3. Matthew A Cole & Ceren Ozgen & Eric Strobl, 2020. "Air Pollution Exposure and Covid-19," Discussion Papers 20-13, Department of Economics, University of Birmingham.
    4. Leonardo Setti & Fabrizio Passarini & Gianluigi De Gennaro & Pierluigi Barbieri & Alberto Pallavicini & Maurizio Ruscio & Prisco Piscitelli & Annamaria Colao & Alessandro Miani, 2020. "Searching for SARS-COV-2 on Particulate Matter: A Possible Early Indicator of COVID-19 Epidemic Recurrence," IJERPH, MDPI, vol. 17(9), pages 1-5, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sun, Jianing & Zhou, Tao & Wang, Di, 2022. "Relationships between urban form and air quality: A reconsideration based on evidence from China’s five urban agglomerations during the COVID-19 pandemic," Land Use Policy, Elsevier, vol. 118(C).
    2. Lisa Bauleo & Simone Giannini & Andrea Ranzi & Federica Nobile & Massimo Stafoggia & Carla Ancona & Ivano Iavarone & the EpiCovAir Study Group, 2022. "A Methodological Approach to Use Contextual Factors for Epidemiological Studies on Chronic Exposure to Air Pollution and COVID-19 in Italy," IJERPH, MDPI, vol. 19(5), pages 1-14, March.
    3. Cappelli, Federica & Guastella, Gianni & Pareglio, Stefano, 2021. "Urban Sprawl and Air Quality in European Cities: an Empirical Assessment," FEEM Working Papers 309920, Fondazione Eni Enrico Mattei (FEEM).
    4. Fang Fang & Lina Mu & Yifang Zhu & Jianyu Rao & Jody Heymann & Zuo-Feng Zhang, 2021. "Long-Term Exposure to PM 2.5 , Facemask Mandates, Stay Home Orders and COVID-19 Incidence in the United States," IJERPH, MDPI, vol. 18(12), pages 1-12, June.
    5. Noi, Evgeny & Murray, Alan T., 2022. "Interpolation biases in assessing spatial heterogeneity of outdoor air quality in Moscow, Russia," Land Use Policy, Elsevier, vol. 112(C).
    6. Armando Cartenì & Furio Cascetta & Luigi Di Francesco & Felisia Palermo, 2021. "Particulate Matter Short-Term Exposition, Mobility Trips and COVID-19 Diffusion: A Correlation Analyses for the Italian Case Study at Urban Scale," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    7. Liu, Ziheng & Chen, Xi & Lu, Qinan, 2023. "Blowin' in the Wind of an Invisible Killer: Long-Term Exposure to Ozone and Respiratory Mortality in the United States," IZA Discussion Papers 15981, Institute of Labor Economics (IZA).
    8. Brandon Michael Taylor & Michael Ash & Lawrence Peter King, 2022. "Initially High Correlation between Air Pollution and COVID-19 Mortality Declined to Zero as the Pandemic Progressed: There Is No Evidence for a Causal Link between Air Pollution and COVID-19 Vulnerabi," IJERPH, MDPI, vol. 19(16), pages 1-9, August.
    9. Aubert, Cécile & Dang, Hai-Anh H & Nguyen, Manh-Hung, 2022. "The Unequal Impact of the COVID Pandemic: Theory and Evidence on Health and Economic Outcomes for Different Income Groups," IZA Discussion Papers 15396, Institute of Labor Economics (IZA).
    10. Adel Ben Youssef & Mounir Dahmani & Séverine Borderon-Carrez, 2021. "Territories’ adaptation to climate change and the effects of pandemics," Post-Print halshs-03507278, HAL.
    11. Macarena Valdés Salgado & Pamela Smith & Mariel A. Opazo & Nicolás Huneeus, 2021. "Long-Term Exposure to Fine and Coarse Particulate Matter and COVID-19 Incidence and Mortality Rate in Chile during 2020," IJERPH, MDPI, vol. 18(14), pages 1-12, July.
    12. Jorge A Bonilla & Alejandro Lopez-Feldman & Paula Pereda & Nathaly M. Rivera & J. Cristobal Ruiz-Tagle, 2021. "Long-Term Air Pollution Exposure and COVID-19 Mortality in Latin America," Working Papers, Department of Economics 2021_23, University of São Paulo (FEA-USP), revised 02 Feb 2023.
    13. Marion Davin & Mouez Fodha & Thomas Seegmuller, 2021. "Environment, public debt and epidemics," AMSE Working Papers 2128, Aix-Marseille School of Economics, France.
    14. Brandily, Paul & Brébion, Clément & Briole, Simon & Khoury, Laura, 2021. "A poorly understood disease? The impact of COVID-19 on the income gradient in mortality over the course of the pandemic," European Economic Review, Elsevier, vol. 140(C).
    15. Dang, Hai-Anh H. & Trinh, Trong-Anh, 2020. "Does the COVID-19 Pandemic Improve Global Air Quality? New Cross-national Evidence on Its Unintended Consequences," GLO Discussion Paper Series 606, Global Labor Organization (GLO).
    16. Joseph Ching & Mizuo Kajino, 2020. "Rethinking Air Quality and Climate Change after COVID-19," IJERPH, MDPI, vol. 17(14), pages 1-11, July.
    17. Syed Abul Basher & A. K. Enamul Haque, 2021. "Public policy lessons from the Covid-19 outbreak: How to deal with it in the post-pandemic world?," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 23(2), pages 234-247, September.
    18. Jill Furzer & Boriana Miloucheva, 2020. "The Long Arm of the Clean Air Act: Pollution Abatement and COVID-19 Racial Disparities," Working Papers tecipa-668, University of Toronto, Department of Economics.
    19. Patrick Connerton & João Vicente de Assunção & Regina Maura de Miranda & Anne Dorothée Slovic & Pedro José Pérez-Martínez & Helena Ribeiro, 2020. "Air Quality during COVID-19 in Four Megacities: Lessons and Challenges for Public Health," IJERPH, MDPI, vol. 17(14), pages 1-24, July.
    20. Alberto Pivato & Gianni Formenton & Francesco Di Maria & Tatjana Baldovin & Irene Amoruso & Tiziano Bonato & Pamela Mancini & Giusy Bonanno Ferraro & Carolina Veneri & Marcello Iaconelli & Lucia Bonad, 2022. "SARS-CoV-2 in Atmospheric Particulate Matter: An Experimental Survey in the Province of Venice in Northern Italy," IJERPH, MDPI, vol. 19(15), pages 1-14, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14433-:d:962447. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.